Integration of Edge/Fog Artificial Intelligence into Smart Distributed Systems

Dear Colleagues,

In the last decade, edge and fog computing has drawn attractions from many industries and academia. These computing paradigms not only address the need for low-latency and real-time applications by performing computing at the edge of a network but also proffer capabilities to improve the quality of service. Nowadays, edge and fog computing have further evolved with the integration of Artificial Intelligence (AI), offering more innovative solutions and architectures across various domains including IoT applications and smart distributed systems. These solutions and architectures bring AI closer to the data sources to overcome the limitations of centralized systems using cloud computing.

This special issue, titled “Integration of Edge/Fog Artificial Intelligence into Smart Distributed Systems,” invites researchers, scholars, and industry experts to contribute their innovative work and perspectives. We aim to explore key challenges and novel solutions in the intersection of edge/fog computing and artificial, particularly as they apply to IoT applications and smart distributed systems. Submissions are welcomed but not limited to the following areas:

• New paradigms, concepts, and architectures in Edge-AI systems.
• Distributed learning and model training using decentralized algorithms
• AI model deployment at the Edge/Fog
• On devices inference for distributed decision making
• Data processing and information extraction at smart edge devices
• Autonomous contextual awareness with Edge AI
• Decentralized algorithms/approaches for scalability, interoperability, and adaptability in distributed systems
• Distributed fault tolerance approaches used for maintaining quality of service
• Distributed computation offloading algorithms

Dr. Nguyen Gia Tuan
Guest Editor

Manuscript Submission Information

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